Data Analyst
Listed on 2025-12-21
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Overview
Noblis and its wholly‑owned subsidiaries, Noblis ESI and Noblis MSD, tackle the nation’s toughest problems and apply advanced solutions to our clients’ most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors.
Learn more at Noblis - About Us
Noblis is seeking a Data Analyst to work in a dynamic mission‑oriented environment within Bethesda, Maryland. A successful data analyst candidate will be responsible for designing and developing comprehensive methods and processes to consolidate and analyze structured and unstructured data from diverse sources, including big data environments. This role combines traditional data analysis with advanced analytics capabilities to drive organizational decision‑making and business performance.
DataArchitecture & Processing
- Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources including "big data" sources.
- Develop and use advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets.
- Model complex business problems using sophisticated analytical approaches.
- Manage all aspects of end‑to‑end data processing utilizing customized report building functions.
- Design, develop, and modify data infrastructure to support analytical requirements.
- Apply disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing.
- Develop and implement statistical models and algorithms for predictive analytics.
- Conduct both quantitative and qualitative analysis to ensure accurate forecasting and classification.
- Create and optimize automated processes for data analysis and model deployment.
- Work with cross‑discipline teams to ensure connectivity between various databases and systems.
- Collaborate with stakeholders to identify data visualization requirements and business needs.
- Act as a liaison between technical teams and business stakeholders.
- Support strategic decision‑making through detailed analysis and recommendations.
- Identify meaningful insights and interpret and communicate findings and recommendations to stakeholders.
- Develop information tools, algorithms, dashboards, and queries to monitor and improve business performance.
- Create clear and compelling data visualizations to communicate complex findings.
- Present technical findings to non‑technical audiences effectively.
- Maintain awareness of emerging analytics and big‑data technologies.
- Evaluate and implement new tools and technologies to enhance analytical capabilities.
- Develop standards of operation for handling and archiving data.
- Ensure data quality, governance, and compliance with organizational standards.
- U.S. citizen with an active Top Secret Clearance with SCI and CI Polygraph.
- Bachelor of Science degree and 5+ years of prior relevant experience OR Master’s degree with 3+ years of prior relevant experience.
- Proficiency in software programs, algorithms, and querying languages (e.g., SQL, Python, R).
- Experience with Natural Language Processing, Machine Learning, and Predictive modeling.
- Strong foundation in Statistical Analysis and Hypothesis testing.
- Knowledge of big data technologies and platforms.
- Experience with data visualization tools (e.g., Power BI, Tableau, etc.).
- Ability to transform raw data into strategic business intelligence.
- Strong statistical analysis and mathematical skills.
- Excellent problem‑solving and analytical thinking abilities.
- Experience with data mining and advanced analytics techniques.
- Ability to model complex business problems and develop innovative solutions.
- Excellent written and verbal communication skills.
- Ability to work effectively with cross‑discipline teams.
- Strong presentation skills for…
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